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Metabolomic analysis and signatures in motor neuron disease

Overview of attention for article published in Metabolomics, April 2005
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
patent
14 patents

Citations

dimensions_citation
138 Dimensions

Readers on

mendeley
145 Mendeley
citeulike
2 CiteULike
Title
Metabolomic analysis and signatures in motor neuron disease
Published in
Metabolomics, April 2005
DOI 10.1007/s11306-005-4810-1
Pubmed ID
Authors

Steve Rozen, Merit E. Cudkowicz, Mikhail Bogdanov, Wayne R. Matson, Bruce S. Kristal, Chris Beecher, Scott Harrison, Paul Vouros, Jimmy Flarakos, Karen Vigneau-Callahan, Theodore D. Matson, Kristyn M. Newhall, M. Flint Beal, Robert H. Brown, Rima Kaddurah-Daouk

Abstract

Motor neuron diseases (MND) are a heterogeneous group of disorders that includes amyotrophic lateral sclerosis (ALS) and result in death of motor neurons. These diseases may produce characteristic perturbations of the metabolome, the collection of small-molecules (metabolites) present in a cell, tissue, or organism. To test this hypothesis, we used high performance liquid chromatography followed by electrochemical detection to profile blood plasma from 28 patients with MND and 30 healthy controls. Of 317 metabolites, 50 were elevated in MNDpatients and more than 70 were decreased (p < 0.05). Among the compounds elevated, 12 were associated with the drug Riluzole. In a subsequent study of 19 subjects with MND who were not taking Riluzole and 33 healthy control subjects, six compounds were significantly elevated in MND, while the number of compounds with decreased concentration was similar to study 1. Our data also revealed a distinctive signature of highly correlated metabolites in a set of four patients, three of whom had lower motor neuron (LMN) disease. In both datasets we were able to separate MND patients from controls using multivariate regression techniques. These results suggest that metabolomic studies can be used to ascertain metabolic signatures of disease in a non-invasive fashion. Elucidation of the structures of signature molecules in ALS and other forms of MND should provide insight into aberrant biochemical pathways and may provide diagnostic markers and targets for drug design.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Brazil 2 1%
Austria 1 <1%
Malaysia 1 <1%
Germany 1 <1%
Denmark 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
Spain 1 <1%
Other 0 0%
Unknown 133 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 21%
Student > Ph. D. Student 29 20%
Student > Master 18 12%
Other 12 8%
Professor > Associate Professor 11 8%
Other 28 19%
Unknown 16 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 28%
Neuroscience 16 11%
Biochemistry, Genetics and Molecular Biology 16 11%
Medicine and Dentistry 14 10%
Chemistry 12 8%
Other 22 15%
Unknown 25 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 March 2022.
All research outputs
#2,800,334
of 23,435,471 outputs
Outputs from Metabolomics
#136
of 1,311 outputs
Outputs of similar age
#5,265
of 60,704 outputs
Outputs of similar age from Metabolomics
#1
of 6 outputs
Altmetric has tracked 23,435,471 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,311 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 60,704 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them